Naked Statistics: Stripping the Dread from the Data

Naked Statistics: Stripping the Dread from the Data
Author :
Publisher : W. W. Norton & Company
Total Pages : 307
Release :
ISBN-10 : 9780393089820
ISBN-13 : 0393089827
Rating : 4/5 (827 Downloads)

Book Synopsis Naked Statistics: Stripping the Dread from the Data by : Charles Wheelan

Download or read book Naked Statistics: Stripping the Dread from the Data written by Charles Wheelan and published by W. W. Norton & Company. This book was released on 2013-01-07 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.


Naked Statistics: Stripping the Dread from the Data Related Books

Naked Statistics: Stripping the Dread from the Data
Language: en
Pages: 307
Authors: Charles Wheelan
Categories: Mathematics
Type: BOOK - Published: 2013-01-07 - Publisher: W. W. Norton & Company

DOWNLOAD EBOOK

A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistic
Statistics
Language: en
Pages: 866
Authors: Robin H. Lock
Categories: Mathematics
Type: BOOK - Published: 2020-10-13 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. S
Understanding Statistics and Experimental Design
Language: en
Pages: 146
Authors: Michael H. Herzog
Categories: Science
Type: BOOK - Published: 2019-08-13 - Publisher: Springer

DOWNLOAD EBOOK

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I
SPSS Statistics For Dummies
Language: en
Pages: 487
Authors: Jesus Salcedo
Categories: Business & Economics
Type: BOOK - Published: 2020-09-09 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience usi
Statistics for High-Dimensional Data
Language: en
Pages: 568
Authors: Peter Bühlmann
Categories: Mathematics
Type: BOOK - Published: 2011-06-08 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed ac